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Kora : Kinetic Open Robotics And AI Hackathon 2026

unstopHosted on Unstop

Fetched 18 days ago

Sunday, April 5, 2026

to Thursday, September 3, 2026

•

5 months long

Artificial IntelligenceIoTEdtech

Event Type

in person

388

Participants

34

Est. Projects

Focus Area: This is an AI-focused, software-only hackathon. All solutions must be software-based and must incorporate Artificial Intelligence or Machine Learning at their core.Possible domains include (but are not limited to): Natural Language Processing & Generative AI Computer Vision & Image Recognition Predictive Analytics & Data Intelligence AI for Healthcare & Assistive Tech AI for Sustainability & Smart Systems AI in Cybersecurity Autonomous Systems & Decision Making Problem Statements:Problem statements will not be released at the time of registration. They will be made available to all participants after the conclusion of Round 1. Teams should prepare their AI/software foundations before the reveal. Important Notes & Policies: No travel or accommodation will be provided. Participants must manage their own arrangements. Shortlisted teams must be physically present for the final offline round. Team changes are not allowed without prior approval. Participants must maintain professional conduct. Misconduct may lead to disqualification. Decisions of judges and organizers will be final and binding.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct